Skills
Data Governance & Analytics:
Data Governance, Data Lineage, Critical Data Elements (CDEs), Data Quality Management, Metadata Management, Business Data Modeling, KPI Reporting, Data Validation, Data Reconciliation, SLA Monitoring
Analytics & Querying:
SQL, Python, Data Analysis, Dimensional Modeling, Semantic Layer Design, Business Intelligence, Reporting & Dashboards
Data Platforms & Tools:
Snowflake, Azure Synapse Analytics, Databricks, AWS Glue, Amazon Redshift, BigQuery
ETL / Data Workflow Understanding:
ETL / ELT Analysis, dbt, Airflow, Informatica, Stored Procedures, Data Transformation Logic
Visualization & Reporting:
Power BI, Tableau, Microsoft Excel
Collaboration & Delivery:
Stakeholder Management, Data Steward Collaboration, Requirements Gathering, Agile (Scrum), JIRA, Cross-Functional Communication
About
Data & Analytics professional with around 4 years of experience supporting governed analytics and reporting in regulated environments including insurance, healthcare, and enterprise analytics. Strong background in data lineage, critical data elements (CDEs), business data modeling, data quality controls, and KPI reporting, with hands-on expertise in SQL and Python. Experienced in partnering with data owners, stewards, and engineering teams to translate business requirements into trusted, analytics-ready datasets, standardized metrics, and reliable reporting used for operational, financial, and risk-related decision-making.
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